{"id":"W4392460968","doi":"10.17645/si.7785","title":"Migrant Agricultural Workers’ Experiences of Support in Three Migrant‐Intensive Communities in Canada","year":2024,"lang":"en","type":"article","venue":"Social Inclusion","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; The King's University; Western University; University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada; King's University College","keywords":"Migrant workers; Agriculture; Sociology; Socioeconomics; Demographic economics; Gender studies; Political science; Economic growth; Geography; Economics; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005886553,0.0001058866,0.000231962,0.00009710876,0.0007158018,0.00003650762,0.0002873922,0.00009725236,0.0003486814],"category_scores_gemma":[0.00007548275,0.00009086129,0.0000701453,0.0005032019,0.0002827243,0.0002465977,0.0002423291,0.0001978453,0.000003536371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006623532,"about_ca_system_score_gemma":0.001225438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948708,"about_ca_topic_score_gemma":0.999893,"domain_scores_codex":[0.998698,0.0001931511,0.0003473939,0.0001366861,0.0003284074,0.000296358],"domain_scores_gemma":[0.9994914,0.000183898,0.00008871184,0.00006946522,0.0001184686,0.00004809248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009508764,0.00001475948,0.04343773,0.00001847782,0.000005695649,0.000009266828,0.9515149,0.000006685826,0.00004280349,0.0006058452,0.003406868,0.0009274379],"study_design_scores_gemma":[0.0001041221,0.0000151097,0.06552736,0.00009583588,0.00000432829,4.057374e-7,0.9272305,0.00006730106,0.0000426831,0.001429406,0.005355529,0.0001273622],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934043,0.000633029,0.000003544935,0.002182996,0.0006086748,0.0002007908,0.00001062752,0.00001984969,0.002936159],"genre_scores_gemma":[0.9992957,0.00009095987,0.00001144708,0.0001651925,0.0001569964,0.00002858333,0.00002124864,0.000005291639,0.0002245587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02428437,"threshold_uncertainty_score":0.5505441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960162472097022,"score_gpt":0.2866823758105304,"score_spread":0.2570807510895601,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}